Smaila A. Amoanu
Data scientist & Tech Educator
Smaila A. Amoanu
Data scientist & Tech Educator
Smaila A. Amoanu
Data Scientist, Entrepreneur & Tech Educator
Career Objective
A personable and reliable tech-savvy academic seeking to become a competent Statistician, and a Data scientist that can contribute immensely to decision makings and problems solving in both the academia and industries. Actively involved and practicing in Research works, Database developing, Data Analysis, and teaching.
Interest Areas
- Technology
- Education
- Research
- Entrepreneurship and communication
Research Interest
• Geospatial Analysis
• Biostatistics and survival analysis
• Time series
• Eidemiology and Disease modeling
• Financial Mathematics• Computational Statistics
Join my Youtube page
Welcome to my YouTube journey! Back in 2018, I embarked on an extraordinary adventure on YouTube, driven by my passion for sharing knowledge about Database Management with the world. It's been an incredible ride, filled with moments of genuine connection and joy, especially when I receive heartfelt testimonials from viewers whose lives have been positively impacted by my tutorials.
My channel is a dedicated space where I freely share tutorials on essential topics such as Microsoft Access databases, Microsoft Excel, and SQL. I firmly believe that empowering individuals with the skills to understand, store, manage, and analyze data is pivotal for informed decision-making and making a real difference in the world.
If you're eager to dive into the world of data management and unlock its potential, I invite you to explore my playlists by clicking the Tube placeholder.
EXPLORE MY SAMPLE PROJECTS
School Management Database System
This system is a game-changer, offering robust functionality to streamline various aspects of school administration. From managing student records, handling school fees, facilitating examinations, and maintaining staff information to tracking attendance, processing payroll, and generating efficient reports with insightful visualizations – we've got it covered.
Curious to explore more about this transformative solution? Click on the placeholder to experience the full demo firsthand.
Church Management Database
Designed as a multi-user database, this system is ideal for churches of all sizes, offering robust features to support various aspects of church management. Whether it's tracking member information, managing contributions, organizing events, or overseeing volunteer coordination, this system has you covered.
Built to be shared over a LAN or Extranet, it ensures seamless collaboration among church staff and volunteers.
Inventory Management Database for warehouse
The sysem is designed to simplify inventory management, this system empowers you to efficiently store and track products across multiple locations within your warehouse.
Versatile in its application, this inventory system isn't limited to warehouses alone. It's equally effective for businesses of all kinds that deal with inventory management.
Whether you're overseeing a bustling warehouse operation or managing inventory for your business, this system provides the tools you need for seamless tracking and organization.
POS System (Old version)
The system is designed with simplicity in mind, our POS software is a versatile solution suitable for a wide range of businesses, including shops, supermarkets, pharmacies, and both retail and wholesale operations.
With its intuitive interface and robust functionality, our POS system streamlines transactions and enhances efficiency in your business operations. Whether you're processing sales, managing inventory, or tracking customer data, our POS software is equipped to handle it all.
For information on the latest versions, do not hesistate to reach out.
INSURANCE TECHNICAL PRICE PREDICTION USING ML
In this project, I utilized the freMPL3 dataset to train predictive models for insurance technical price estimation. I employed KNN, Random Forest, and XG Boost algorithms for regression tasks, evaluating performance with RMSE and R-squared metrics. Preprocessing techniques like scaling and target encoding were applied, and model interpretation was facilitated through Partial Dependence Plot (PDP) and SHAP. Benchmarking revealed Random Forest and KNN as superior in explaining variability and predicting technical price, with contributions varying between genders. This comprehensive approach ensures accurate and interpretable insurance pricing decisions.
SIMULATING THE IMPACTS OF MALARIA INTERNVETION STRATEGIES IN GEITA, TANAZANIA USING OPENMALARIA.
Controlling malaria in Geita is challenging due to widespread antimalarial drug resistance, exacerbated by economic constraints limiting the efficient deployment of interventions like case management, bednets, indoor residual spraying, and vaccines. The study aims to optimize intervention strategies by identifying the most cost-effective combination through OpenMalaria simulations, utilizing historical data from the region to evaluate effectiveness compared to VecNet baseline models.
Research works
In this section, explore a curated collection of my research endeavors, spanning from academic pursuits during college to personal projects.
Essays
1. Statistical analysis on the impacts of government expenditure on economicgrowth in Ghana using Vector Auto-regression (VAR) and cointegration Analysis.
Thesis: KNUST-GHANA2. Detecting Counterfeit Banknote and its control prevalence in Sweden using the binary logistics regression algorithm.
Description
• Build a regression model in R to determine the status of a banknote as counterfeit or genuine
using features of the bank note.
• Determine those characteristics of banknotes such as Length, Left, Right, Bottom, Top and
Diagonal measurements which has significant effects on its genuineness.3. Analyzing the impacts of financial status on students’ academic performance in the Kwame Nkrumah University of Science and Technology (KNUST).
Description
• Describe and explore the academic performance of students in the various income categories.
• Use one-way ANOVA and the two-sample t test to compare the academic performances of
students who owe fees and those that do not owe fees.4. Ghana crime distribution and forecasting analysis using time series and visualizations.
Description
• Build dashboard to summarize Ghana’s crime data from 2010 to 2021.
• Use visualizations to spot the less stable cities in the country.
• Use visualizations to identify the most pressing offences in the country.
• Use ARIMA (2,1,1) to obtain a five-year forecast for Ghana’s crime rate.5. Predictive Modeling for Insurance Technical Price Estimation using the freMPL3 dataset in the freMPL (FrenchMotor Personal Line datasets) R package.
Description
•Training a predictive model to estimate the technical price, which represents the conditional expectation of claimAmount conditioned on Exposure=1.
•Globally interpret the model, and locally interpret estimates of examples in the data.
•Ascertaining predictive accuracy with the use of appropriate regression metrics such as the R-squared, and RMSE.
•Benchmarking to choose the best performing machine learning model among (KNN, Random Forest and XG Boost).
•Estimating some rows of the test data.
Click here to access project report
Workshops
Academic and Business Symposium,(Learning strategies, how to write Project Work, Secret of success, CV writing-(OMEGABRAINS INTERNATIONAL), March 2020
Starting a career in Data Science
5th May, 2021 by KNUST SCISA
Jobberman soft-skills seminar (zoom)
23rd April, 2022 by Jobberman
Modern Statistics and Machine Learning for Global Health
22nd-24th February, 2024, Rwanda by AIMS Research & Innovation
Multilateral Initiative of Malaria Conference
22nd to 26th April, 2024, RwandaRelevant Leadership Roles Assumed
- Academic Board Head, Science Students Association, KNUST (2021 – 2022).
- Deputy Electoral Commissioner, Ghana Association of Statistics Student, KNUST (2020-2021).
- Boys’ Head Prefect, Obrachire Senior High Technical School , Ghana
My Top Programming Languages
R for Data Analytics
Heavily used in my daily analytical and statistical routines.
Python for Data Analytics and visualization
Used quite a lot for huge data science tasks that require appreciable level of automations nad visualizations.
SQL for Database handling
Used in interacting with databases
Microsoft Visual Basic (VBA)
I use VBA mostly in Microsoft Access Database development to enhance functionalities and automations.
Microsoft PowerBI
For data visualization, analysis, modeling, and reporting, enabling me to derive insights and make data-driven decisions effectively.
Contact me
Leave a message or email me for inquiries.